Enabling Smarter Cities with Operations Management

Mak, Ho‐Yin

doi:10.1287/msom.2020.0929

Cited by 22 publications

(8 citation statements)

References 60 publications

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Section: Analysis Of Contentmentioning

confidence: 99%

“…It discusses the different aspects of smart services-based manufacturing (Koldewey et al. , 2020; Sheth and Kusiak, 2022), innovation in supply chain management (Mak, 2022; Hahn, 2020), logistics (Rahman et al. , 2022; Asthana and Dwivedi, 2020) digitization of the manufacturing sector (Kohtamaki et al.…”

Section: Analysis Of Contentmentioning

confidence: 99%

“…Such technologies aim to create more efficient and competitive manufacturing ecosystems that attract investment and support job creation. Based upon the results of LDA and co-occurrence analysis of keywords, the cluster focuses on operational (Mak, 2022) and smart manufacturing communities. It discusses the different aspects of smart services-based manufacturing (Koldewey et al, 2020;Sheth and Kusiak, 2022), innovation in supply chain management (Mak, 2022;Hahn, 2020), logistics (Rahman et al, 2022;Asthana and Dwivedi, 2020) digitization of the manufacturing sector (Kohtamaki et al, 2020;Dragicevic et al, 2019).…”

Section: Cluster 1 (Manufacturing-based Scs)mentioning

confidence: 99%

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A contemplative overview of smart communities: a hybrid analytical approach

Sakshi,

Srivastava,

Mangla

et al. 2023

JEIM

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PurposeThis study aims to uncover and develop explicit knowledge of existing smart communities (SCs) to guide services and business solutions for enterprises and serve community users in a well-thought-out manner. These sagacious frameworks will assist in analyzing trends and reaching out to pre-existing setups with different degrees of expertise.Design/methodology/approachA systematic overview is provided in this paper to unify insights and competencies toward building SCs; a hybrid analytical approach is used consisting of machine learning and bibliometric analysis. Scopus and Web of Science (WoS) are the primary databases for this purpose.FindingsSCs implement cutting-edge technologies to enhance mobility, elevating information and communication technology (ICT) skills and data awareness while improving business processes and efficiency. This system of SC is an evolution of the conventional method. It provides a foundation for intelligent community services based on individual users and technologies such as the Internet of Things (IoT), artificial intelligence, cloud computing and big data. Manufacturing-based, service-based, retail-based, resource management and infrastructure-based SCs exist in the literature.Originality/valueThe paper summarizes a conceptual framework of SCs based on existing works around SCs. To the best of the authors’ knowledge, this is the first systematic literature review that uses a hybrid approach of topic modeling and bibliometric analysis to understand SCs better.

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Section: Analysis Of Contentmentioning

confidence: 99%

Section: Analysis Of Contentmentioning

confidence: 99%

Section: Cluster 1 (Manufacturing-based Scs)mentioning

confidence: 99%

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A contemplative overview of smart communities: a hybrid analytical approach

Sakshi,

Srivastava,

Mangla

et al. 2023

JEIM

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“…In this study, we focus on the area of UTL by reviewing research topics motivated by innovative developments (Section 2), discussing how data and analytical techniques are integrated in the operations practice and research (Sections 3 and 4), and reflecting on the trends from a business analytics perspective (Section 5). These studies on smart UTL are closely related to the literature on smart city operations (e.g., Hasija et al, 2020;Mak, 2022;Qi & Shen, 2019), which also considers public utilities, safety, healthcare, and education. Moreover, for business analytics in broader OM areas, for example, inventory management and revenue management, we refer the interested readers to more general reviews such as Feng and Shanthikumar (2018) and Choi et al (2018).…”

Section: Introductionmentioning

confidence: 99%

Smart urban transport and logistics: A business analytics perspective

Liu

Shen

2022

Production and Operations Management

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New technologies and innovative business models are leading to connected, shared, autonomous, and electric solutions for the tomorrow of urban transport and logistics (UTL). The efficiency and sustainability of these solutions are greatly empowered by the capability of understanding and utilizing the tremendous amount of data generated by passengers, drivers, and vehicles. In this study, we first review the innovative applications in UTL and several related research areas in the operations management (OM)/operations research (OR) literature. We then highlight the sources, types, and uses of data in different applications. We further elaborate on business analytics techniques and software developed to facilitate the planning and management of UTL systems. Finally, we conclude the paper by reflecting on the emerging trends and potential research directions in data‐driven decision making for smart UTL.

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“…Third, we contribute to the sustainable operations research literature (Bouchery et al, 2016; Kleindorfer et al, 2005) by providing empirical evidence for the impact of RH services on traffic congestion and safety. The potential theoretical effects of ridesharing services on the smart‐city movement and sustainability have been discussed in the literature (Mak, 2022; Qi & Shen, 2019), but, to date, there has been little empirical evidence examining these theoretical conjectures. Our results suggest that, given RH's impact on congestion and safety, RH services may generate significant negative impacts on the smart‐city movement and its sustainability in urban areas.…”

Section: Introductionmentioning

confidence: 99%